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Robust Estimation Of The Location Parameter Of Life Distributions
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Book Synopsis Robust Estimation of the Location Parameter of Life Distributions by : Linda M. Allen
Download or read book Robust Estimation of the Location Parameter of Life Distributions written by Linda M. Allen and published by . This book was released on 1985 with total page 59 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis determined that for time to failure distributions that are moderate deviations from the negative exponential distribution, a robust estimate of the minimum life could be arrived at by assuming the underlying distribution was exponential and using the minimum variance, unbiased, maximum likelihood estimator. It was found that estimators using the minimum distance statistics of Kolmogorov, Cramer-von Mises, and Anderson-Darling did not perform well with the asymmetric distributions explored in this thesis. However, they may still prove useful for life distributions with larger shape parameters. The analysis was accomplished by using Monte Carlo techniques to generate random samples of time to failure data from specific distributions, and using this empirical data to estimate the actual minimum life of the distribution. Five estimators were explored: the minimum variance, unbiased, maximum likelihood estimator of the two-parameter negative exponential distribution; the first ordered statistic; and the three minimum distance methods. The performance of these estimators was evaluated by comparing their mean square errors with the mean square error of the chosen best estimator.
Book Synopsis Robust Estimation of the Location Parameter of Life Distributions by : Linda M. Allen (CAPT, USAF.)
Download or read book Robust Estimation of the Location Parameter of Life Distributions written by Linda M. Allen (CAPT, USAF.) and published by . This book was released on 1985 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Estimation of the Location Parameter from a Two-parameter Exponential Distribution by : Jörg Pawlitschko
Download or read book Robust Estimation of the Location Parameter from a Two-parameter Exponential Distribution written by Jörg Pawlitschko and published by . This book was released on 2001 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Estimation of a Location Parameter by : David W. Payne
Download or read book Robust Estimation of a Location Parameter written by David W. Payne and published by . This book was released on 1980 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Aspects of Efficiency Robust Estimation of Location by : David Lynn Hall
Download or read book Aspects of Efficiency Robust Estimation of Location written by David Lynn Hall and published by . This book was released on 1980 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Estimation and Hypothesis Testing by : Moti Lal Tiku
Download or read book Robust Estimation and Hypothesis Testing written by Moti Lal Tiku and published by New Age International. This book was released on 2004 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: In statistical theory and practice, a certain distribution is usually assumed and then optimal solutions sought. Since deviations from an assumed distribution are very common, one cannot feel comfortable with assuming a particular distribution and believing it to be exactly correct. That brings the robustness issue in focus. In this book, we have given statistical procedures which are robust to plausible deviations from an assumed mode. The method of modified maximum likelihood estimation is used in formulating these procedures. The modified maximum likelihood estimators are explicit functions of sample observations and are easy to compute. They are asymptotically fully efficient and are as efficient as the maximum likelihood estimators for small sample sizes. The maximum likelihood estimators have computational problems and are, therefore, elusive. A broad range of topics are covered in this book. Solutions are given which are easy to implement and are efficient. The solutions are also robust to data anomalies: outliers, inliers, mixtures and data contaminations. Numerous real life applications of the methodology are given.
Book Synopsis Robust Estimation of the Parameters of the Exponential and Weibull Distributions by : Sharon Marie Homan
Download or read book Robust Estimation of the Parameters of the Exponential and Weibull Distributions written by Sharon Marie Homan and published by . This book was released on 1983 with total page 876 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Adaptive Robust Estimation of Location when Stable Distributions are Included by : Saleh Omar Badahdah
Download or read book Adaptive Robust Estimation of Location when Stable Distributions are Included written by Saleh Omar Badahdah and published by . This book was released on 1987 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Estimation of Location Parameter (nonparametrics) by : A. K. Md. Ehsanes Saleh
Download or read book Robust Estimation of Location Parameter (nonparametrics) written by A. K. Md. Ehsanes Saleh and published by . This book was released on 1978 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Representations of the Space of Distributions in Robust Estimation of Location by : David L. Hall
Download or read book Representations of the Space of Distributions in Robust Estimation of Location written by David L. Hall and published by . This book was released on 1981 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: In many situations it is useful to have a low-dimensional representation of the space of distributions. In this report, one, two and three dimensional representations are given which are of particular relevance to the study of robust estimation of location based on rank estimators. The distances are defined as functions of the asymptotic relative efficiency of the most efficient rank estimator for one distribution when used on data from another distribution. Values of these distance functions are computed for a large number of pairs of distributions and multidimensional scaling is used to find the low-dimensional representations. (Author).
Book Synopsis Simple and Robust Linear Estimation of the Location Parameter of a Symmetric Distribution by : James John Filliben
Download or read book Simple and Robust Linear Estimation of the Location Parameter of a Symmetric Distribution written by James John Filliben and published by . This book was released on 1978 with total page 808 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Recent Advances in Robust Statistics: Theory and Applications by : Claudio Agostinelli
Download or read book Recent Advances in Robust Statistics: Theory and Applications written by Claudio Agostinelli and published by Springer. This book was released on 2016-11-10 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods. The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.
Book Synopsis Robust Correlation by : Georgy L. Shevlyakov
Download or read book Robust Correlation written by Georgy L. Shevlyakov and published by John Wiley & Sons. This book was released on 2016-09-19 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data. Key features: Makes modern and robust correlation methods readily available and understandable to practitioners, specialists, and consultants working in various fields. Focuses on implementation of methodology and application of robust correlation with R. Introduces the main approaches in robust statistics, such as Huber’s minimax approach and Hampel’s approach based on influence functions. Explores various robust estimates of the correlation coefficient including the minimax variance and bias estimates as well as the most B- and V-robust estimates. Contains applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data. Includes an accompanying website featuring computer code and datasets Features exercises and examples throughout the text using both small and large data sets. Theoretical and applied statisticians, specialists in multivariate statistics, robust statistics, robust time series analysis, data analysis and signal processing will benefit from this book. Practitioners who use correlation based methods in their work as well as postgraduate students in statistics will also find this book useful.
Book Synopsis Introduction to Robust Estimation and Hypothesis Testing by : Rand R. Wilcox
Download or read book Introduction to Robust Estimation and Hypothesis Testing written by Rand R. Wilcox and published by Academic Press. This book was released on 2012-01-12 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--
Book Synopsis A Collection of Three Papers on the Robust Estimation of Location Parameter (nonparametrics) by : A. K. Md Ehsanes Saleh
Download or read book A Collection of Three Papers on the Robust Estimation of Location Parameter (nonparametrics) written by A. K. Md Ehsanes Saleh and published by . This book was released on 1978 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientific and Technical Aerospace Reports by :
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1992 with total page 1572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Understanding Robust and Exploratory Data Analysis by : David C. Hoaglin
Download or read book Understanding Robust and Exploratory Data Analysis written by David C. Hoaglin and published by John Wiley & Sons. This book was released on 2000-06-02 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in hardcover in 1982, this book is now offered in a Wiley Classics Library edition. A contributed volume, edited by some of the preeminent statisticians of the 20th century, Understanding of Robust and Exploratory Data Analysis explains why and how to use exploratory data analysis and robust and resistant methods in statistical practice.
